Correlation Between Caltagirone SpA and Nippon Steel
Can any of the company-specific risk be diversified away by investing in both Caltagirone SpA and Nippon Steel at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Caltagirone SpA and Nippon Steel into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Caltagirone SpA and Nippon Steel, you can compare the effects of market volatilities on Caltagirone SpA and Nippon Steel and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Caltagirone SpA with a short position of Nippon Steel. Check out your portfolio center. Please also check ongoing floating volatility patterns of Caltagirone SpA and Nippon Steel.
Diversification Opportunities for Caltagirone SpA and Nippon Steel
-0.28 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Caltagirone and Nippon is -0.28. Overlapping area represents the amount of risk that can be diversified away by holding Caltagirone SpA and Nippon Steel in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nippon Steel and Caltagirone SpA is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Caltagirone SpA are associated (or correlated) with Nippon Steel. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nippon Steel has no effect on the direction of Caltagirone SpA i.e., Caltagirone SpA and Nippon Steel go up and down completely randomly.
Pair Corralation between Caltagirone SpA and Nippon Steel
Assuming the 90 days trading horizon Caltagirone SpA is expected to generate 1.44 times more return on investment than Nippon Steel. However, Caltagirone SpA is 1.44 times more volatile than Nippon Steel. It trades about 0.07 of its potential returns per unit of risk. Nippon Steel is currently generating about -0.03 per unit of risk. If you would invest 474.00 in Caltagirone SpA on September 3, 2024 and sell it today you would earn a total of 120.00 from holding Caltagirone SpA or generate 25.32% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Caltagirone SpA vs. Nippon Steel
Performance |
| Timeline |
| Caltagirone SpA |
| Nippon Steel |
Caltagirone SpA and Nippon Steel Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Caltagirone SpA and Nippon Steel
The main advantage of trading using opposite Caltagirone SpA and Nippon Steel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Caltagirone SpA position performs unexpectedly, Nippon Steel can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Nippon Steel will offset losses from the drop in Nippon Steel's long position.| Caltagirone SpA vs. Apple Inc | Caltagirone SpA vs. Apple Inc | Caltagirone SpA vs. Apple Inc | Caltagirone SpA vs. Apple Inc |
| Nippon Steel vs. MAGNUM MINING EXP | Nippon Steel vs. Perseus Mining Limited | Nippon Steel vs. Apollo Medical Holdings | Nippon Steel vs. G III Apparel Group |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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